Infrastructure and DevOps Engineer

Job Details

Job Description:

We are seeking an experienced and skilled DevOps Engineer with a strong focus on Jenkins and AWS to join our dynamic team. The ideal candidate will have deep hands-on experience managing Jenkins environments, AWS infrastructure, and supporting DevOps processes through automation, CI/CD pipelines, and infrastructure-as-code practices. This role requires a strong understanding of cloud technologies, containerization, and configuration management, along with excellent problem-solving abilities and strong leadership skills.

As a DevOps Engineer, You Will

• Collaborate with the WiFi development team to support and enhance development and deployment workflows.
• Design, implement, and maintain CI/CD pipelines using Jenkins and Groovy.
• Troubleshoot and resolve issues across development, infrastructure, and deployment layers.
  
  

Manage And Maintain The Following Critical Systems

• Jenkins CI servers
• Kubernetes (K8s) clusters
• Elastic Stack (ELK)
• Prometheus and Grafana monitoring stacks
• Ubuntu-based servers
• A server hosted in Microsoft Azure
• Automate and improve system operations, observability, and scalability.
• Use Ansible, Python, and Bash for automation and configuration management.
  
  

Qualifications

Minimum Requirements:

• B.tech or M.tech in Computer Science
• 5+ years of hands-on experience in DevOps.
• Hands on Proficiency in Coding such as C, C++, Python etc.
• Expertise with Jenkins, including advanced pipeline scripting in Groovy, Job DSL, CasC.
• Solid experience with Docker and container orchestration using Kubernetes.
• Strong Linux skills, especially with Ubuntu environments.
• Proficient in scripting with Bash and Python.
• Experience with cloud platforms such as Azure or AWS.
• Solid understanding of Git workflows and version control practices.
  
  

Nice To Have

• Experience with generative AI frameworks such as (CrewAI/Langchain)
• Experience with Ansible for configuration management.
• In-depth knowledge of Prometheus and Grafana for monitoring and alerting.
• Experience with the ELK Stack (Elasticsearch, Logstash, Kibana).
• Exposure to virtualization using QEMU or similar tools.
  
  

Soft Skills

• Strong problem-solving and debugging capabilities.
• Fast learner with a proactive, self-driven mindset.
• Excellent communication and documentation skills.
• Ability to work both independently and within a collaborative team
  
  

Job Type

Experienced Hire

Shift

Shift 1 (India)

Primary Location:

India, Bangalore

Additional Locations:

Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.